1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.00
## LDevsum       1.01       1.03
## dh0           1.25       1.68
## dh1           1.25       1.68
## dh2           1.00       1.01
## dl0           1.06       1.18
## dl1           1.18       1.47
## 
## Multivariate psrf
## 
## 1.18

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.00       1.01
## dh0           5.56      11.07
## dh1          10.17      18.41
## dh2           5.84      10.29
## dl0           1.11       1.32
## dl1           1.02       1.05
## 
## Multivariate psrf
## 
## 9.02

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results